{"list":"other","total":67,"rows":[{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"2106.10689","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","created":"2021-06-20","cited_by_count":1712},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"id":"1502.00956","title":"ORB-SLAM: a Versatile and Accurate Monocular SLAM System","created":"2015-02-03","cited_by_count":988},{"id":"2104.00680","title":"LoFTR: Detector-Free Local Feature Matching with Transformers","created":"2021-04-01","cited_by_count":984},{"id":"1711.00199","title":"PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes","created":"2017-11-01","cited_by_count":775},{"id":"1804.00607","title":"MegaDepth: Learning Single-View Depth Prediction from Internet Photos","created":"2018-04-02","cited_by_count":737},{"id":"2002.10099","title":"Implicit Geometric Regularization for Learning Shapes","created":"2020-02-24","cited_by_count":710},{"id":"1808.00177","title":"Learning Dexterous In-Hand Manipulation","created":"2018-08-01","cited_by_count":687},{"id":"2108.10869","title":"DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras","created":"2021-08-24","cited_by_count":687},{"id":"2104.10078","title":"UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction","created":"2021-04-20","cited_by_count":646},{"id":"2112.12130","title":"NICE-SLAM: Neural Implicit Scalable Encoding for SLAM","created":"2021-12-22","cited_by_count":589},{"id":"1901.02970","title":"Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation","created":"2019-01-09","cited_by_count":495},{"id":"2103.12352","title":"iMAP: Implicit Mapping and Positioning in Real-Time","created":"2021-03-23","cited_by_count":476},{"id":"2207.07115","title":"XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model","created":"2022-07-14","cited_by_count":439},{"id":"2111.12503","title":"Extracting Triangular 3D Models, Materials, and Lighting From Images","created":"2021-11-24","cited_by_count":366},{"id":"1603.08182","title":"3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions","created":"2016-03-27","cited_by_count":336},{"id":"2104.04532","title":"Neural RGB-D Surface Reconstruction","created":"2021-04-09","cited_by_count":313},{"id":"2008.08465","title":"CosyPose: Consistent multi-view multi-object 6D pose estimation","created":"2020-08-19","cited_by_count":287},{"id":"1804.00175","title":"DeepIM: Deep Iterative Matching for 6D Pose Estimation","created":"2018-03-31","cited_by_count":283},{"id":"2001.07715","title":"TEASER: Fast and Certifiable Point Cloud Registration","created":"2020-01-21","cited_by_count":274},{"id":"2204.06950","title":"BEHAVE: Dataset and Method for Tracking Human Object Interactions","created":"2022-04-14","cited_by_count":249},{"id":"2104.00681","title":"NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video","created":"2021-04-01","cited_by_count":241},{"id":"2212.06870","title":"MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare","created":"2022-12-13","cited_by_count":201},{"id":"1902.01275","title":"Implicit 3D Orientation Learning for 6D Object Detection from RGB Images","created":"2019-02-04","cited_by_count":170},{"id":"2007.08454","title":"Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation","created":"2020-07-16","cited_by_count":161},{"id":"2205.12257","title":"OnePose: One-Shot Object Pose Estimation without CAD Models","created":"2022-05-24","cited_by_count":157},{"id":"2007.15649","title":"Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild","created":"2020-07-30","cited_by_count":152},{"id":"2210.13702","title":"DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality","created":"2022-10-25","cited_by_count":149},{"id":"2102.12145","title":"GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator","created":"2021-02-24","cited_by_count":148},{"id":"2012.09856","title":"Reconstructing Hand-Object Interactions in the Wild","created":"2020-12-17","cited_by_count":144},{"id":"2106.05266","title":"Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time","created":"2021-06-09","cited_by_count":141},{"id":"2004.13449","title":"Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction","created":"2020-04-28","cited_by_count":139},{"id":"2012.00924","title":"CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction","created":"2020-12-02","cited_by_count":128},{"id":"2001.09322","title":"Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation","created":"2020-01-25","cited_by_count":124},{"id":"2204.10776","title":"Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images","created":"2022-04-22","cited_by_count":121},{"id":"1604.01093","title":"BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration","created":"2016-04-05","cited_by_count":116},{"id":"1808.08378","title":"Fusion++: Volumetric Object-Level SLAM","created":"2018-08-25","cited_by_count":98},{"id":"1911.05063","title":"Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research","created":"2019-11-12","cited_by_count":98},{"id":"1804.09194","title":"MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects","created":"2018-04-24","cited_by_count":95},{"id":"2204.02445","title":"CHORE: Contact, Human and Object REconstruction from a single RGB image","created":"2022-04-05","cited_by_count":95},{"id":"2209.12354","title":"InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction","created":"2022-09-26","cited_by_count":93},{"id":"2007.13866","title":"se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains","created":"2020-07-27","cited_by_count":90},{"id":"1912.00416","title":"LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation","created":"2019-12-01","cited_by_count":89},{"id":"2108.00516","title":"BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models","created":"2021-08-01","cited_by_count":87},{"id":"2104.03437","title":"CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds","created":"2021-04-08","cited_by_count":84},{"id":"2201.12716","title":"You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration","created":"2022-01-30","cited_by_count":81},{"id":"2203.14628","title":"FS6D: Few-Shot 6D Pose Estimation of Novel Objects","created":"2022-03-28","cited_by_count":81},{"id":"1910.10750","title":"6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints","created":"2019-10-23","cited_by_count":78},{"id":"1603.08161","title":"VolumeDeform: Real-time Volumetric Non-rigid Reconstruction","created":"2016-03-27","cited_by_count":75},{"id":"1812.07976","title":"MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM","created":"2018-12-19","cited_by_count":65},{"id":"2109.09163","title":"CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation","created":"2021-09-19","cited_by_count":49},{"id":"1706.06629","title":"Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects","created":"2017-06-20","cited_by_count":47},{"id":"2004.04336","title":"MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion","created":"2020-04-09","cited_by_count":46},{"id":"2111.00190","title":"Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation","created":"2021-10-30","cited_by_count":45},{"id":"2202.12825","title":"NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions","created":"2022-02-25","cited_by_count":44},{"id":"1703.03512","title":"Real-time Perception meets Reactive Motion Generation","created":"2017-03-10","cited_by_count":30},{"id":"2203.05334","title":"Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects","created":"2022-03-10","cited_by_count":30},{"id":"1904.11781","title":"EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association","created":"2019-04-26","cited_by_count":28},{"id":"2205.01823","title":"Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation","created":"2022-05-04","cited_by_count":28},{"id":"2003.03518","title":"Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands","created":"2020-03-07","cited_by_count":26},{"id":"2008.07760","title":"Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images","created":"2020-08-18","cited_by_count":22},{"id":"2205.07763","title":"FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction","created":"2022-05-16","cited_by_count":19},{"id":"2205.11047","title":"Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation","created":"2022-05-23","cited_by_count":19},{"id":"2012.08197","title":"Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences","created":"2020-12-15","cited_by_count":13},{"id":"1411.0802","title":"Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery","created":"2014-11-04","cited_by_count":5}],"next_cursor":null}